def __init__()

in evaluations/inception_v3.py [0:0]

• 21 lines of code
• 1 McCabe index (conditional complexity)

    def __init__(self, in_channels):
        super().__init__()
        self.tower = torch.nn.Sequential(
            collections.OrderedDict(
                [
                    ("conv", Conv2dLayer(in_channels, 192, kh=1, kw=1)),
                    ("conv_1", Conv2dLayer(192, 320, kh=3, kw=3, stride=2)),
                ]
            )
        )
        self.tower_1 = torch.nn.Sequential(
            collections.OrderedDict(
                [
                    ("conv", Conv2dLayer(in_channels, 192, kh=1, kw=1)),
                    ("conv_1", Conv2dLayer(192, 192, kh=1, kw=7, padding=[0, 3])),
                    ("conv_2", Conv2dLayer(192, 192, kh=7, kw=1, padding=[3, 0])),
                    ("conv_3", Conv2dLayer(192, 192, kh=3, kw=3, stride=2)),
                ]
            )
        )
        self.pool = torch.nn.MaxPool2d(kernel_size=3, stride=2)